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- W74601627 abstract "Piecewise linear models (PLMs) have been widely used in many enterprise machine learning problems, which assign linear experts to individual partitions on feature spaces and express whole models as patches of local experts. This paper addresses simultaneous model selection issues of PLMs; partition structure determination and feature selection of individual experts. Our contributions are mainly three-fold. First, we extend factorized asymptotic Bayesian (F AB) inference for hierarchical mixture" @default.
- W74601627 created "2016-06-24" @default.
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- W74601627 date "2014-04-02" @default.
- W74601627 modified "2023-09-26" @default.
- W74601627 title "{Fully-Automatic Bayesian Piecewise Sparse Linear Models}" @default.
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